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https://www.uc.se/konkursstatistik\n\nInstall\n-------\n\n.. code:: bash\n\n  $ pip install uc_scraper\n\n\nExample usage\n-------------\n\n.. code:: python\n\n  from uc import UCScraper\n\n  # Init scraper\n  scraper = UCScraper()\n\n  # List all available datasets\n  print(scraper.items)\n  # [\u003cUCDataset: Riks- och länsstatistik (b'Riks- och l\\xc3\\xa4nsstatistik')\u003e, \u003cUCDataset: Kommunstatistik (b'Kommunstatistik')\u003e, \u003cUCDataset: Branschstatistik (b'Branschstatistik')\u003e]\n\n  # Select a dataset\n  dataset = scraper.items[\"Branschstatistik\"]\n\n  # List all available dimensions\n  print(dataset.dimensions)\n  #\n\n  # Make a query\n  res = dataset.fetch()  # Get latest available data by default\n\n  # Analyze the results with Pandas\n  df = res.pandas\n\n  # You are able to query month ranges\n  res = dataset.fetch({\"from\": \"2019-06\"})\n\n  res = dataset.fetch({\"from\": \"2019-06\", \"to\": \"2019-07\"})\n\n\nDevelop\n-------\n\nSet up:\n\n.. code:: bash\n\n  $ pip install -r requirements.txt\n\nRun tests:\n\n.. code:: bash\n\n  $ make tests\n\nDeploy to pypi (assuming you have Twine installed, if not `pip install twine`)\n\n.. code:: bash\n\n  $ make tests\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjplusplus%2Fuc_scraper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjplusplus%2Fuc_scraper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjplusplus%2Fuc_scraper/lists"}